Abstract: The well-known molecular based Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) equation of state, which is parametrized by the fitting of experimental saturated vapor pressure and saturated liquid density data, are expected to predict the saturated vapor density with low accuracy. In this study, the experimental data of saturated vapor density, as well as the vapor pressure and saturated liquid density data, were included in the parametrization method to meet the ultimate objective and various parameter models were also investigated. Four representative hydrofluoroolefin (HFO) refrigerants, i.e., R1234yf、R1234ze(E)、R1234ze(Z) and R1243zf, were used to verify the performance of the new parametrization method and the temperature-dependent parameter models. The results revealed that higher accuracy could be obtained not only for saturated vapor density but also for all the saturated properties, though lower accuracy for vapor pressure were observed, when saturated vapor density data were added in the parametrization process. Higher accuracy for vapor pressure couldbe obtained with the exponential temperature-dependent parameter model when using the new parametrization method. The maximum and minimum average AARDs of the three saturated properties for four HFOs are 0.75 % and 0.48 %, respectively. The conclusions contribute to the development and improvement of the SAFT type equation of state.